DBML

# CLI

NPM (opens new window)

DBML comes with a built-in CLI which can be used to convert between different formats from the command line

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# Installation

npm install -g @dbml/cli

# or if you're using yarn
yarn global add @dbml/cli

# Convert a DBML file to SQL

$ dbml2sql schema.dbml

CREATE TABLE "staff" (
  "id" INT PRIMARY KEY,
  "name" VARCHAR,
  "age" INT,
  "email" VARCHAR
);
...

By default it will generate to "PostgreSQL". To specify which database to generate to:

$ dbml2sql schema.dbml --mysql

CREATE TABLE `staff` (
  `id` INT PRIMARY KEY,
  `name` VARCHAR(255),
  `age` INT,
  `email` VARCHAR(255)
);
...

To output to a file you may use --out-file or -o:

$ dbml2sql schema.dbml -o schema.sql
  ✔ Generated SQL dump file (PostgreSQL): schema.sql

# Syntax Manual

$ dbml2sql <path-to-dbml-file>
           [--mysql|--postgres|--mssql|--oracle]
           [-o|--out-file <output-filepath>]

# Convert a SQL file to DBML

To convert SQL to DBML file:

$ sql2dbml dump.sql --postgres

Table staff {
  id int [pk]
  name varchar
  age int
  email varchar
}
...

Output to a file:

$ sql2dbml --mysql dump.sql -o mydatabase.dbml
  ✔ Generated DBML file from SQL file (MySQL): mydatabase.dbml

# Syntax Manual

$ sql2dbml <path-to-sql-file>
           [--mysql|--postgres|--mssql|--postgres-legacy|--mysql-legacy]
           [-o|--out-file <output-filepath>]

Note: The --postgres-legacy and --mysql-legacy options import PostgreSQL/MySQL to dbml using the old parsers. It's quicker but less accurate.